customer-churn-predictor / deploy /deploy_config.json
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{
"raw_features": [
"Age",
"Gender",
"Tenure",
"Usage Frequency",
"Support Calls",
"Payment Delay",
"Subscription Type",
"Contract Length",
"Total Spend",
"Last Interaction"
],
"feature_cols": [
"Age",
"Tenure",
"Usage Frequency",
"Support Calls",
"Payment Delay",
"Total Spend",
"Last Interaction",
"Usage_per_Tenure",
"Spend_per_Tenure",
"Support_per_Tenure",
"Support_x_Delay",
"Age_x_Tenure",
"Gender",
"Subscription Type",
"Contract Length",
"Age_Group"
],
"cat_features": [
"Gender",
"Subscription Type",
"Contract Length",
"Age_Group"
],
"num_features": [
"Age",
"Tenure",
"Usage Frequency",
"Support Calls",
"Payment Delay",
"Total Spend",
"Last Interaction",
"Usage_per_Tenure",
"Spend_per_Tenure",
"Support_per_Tenure",
"Support_x_Delay",
"Age_x_Tenure"
],
"threshold_f1": 0.5321293478150021,
"threshold_rec": 0.40920096340204465,
"recall_target": 0.8,
"ltv_per_customer": 500,
"retention_cost": 20,
"churn_cancel_rate": 0.4,
"retention_pool": 1000,
"model_name": "LogisticRegression",
"age_group_bins": [
0,
26,
42,
58,
200
],
"age_group_labels": [
"Gen Z",
"Millennials",
"Gen X",
"Boomers"
]
}